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Multiple Linear regression analysis using Microsoft Excel's data analysis Tool Pak and ANOVA Concept 

KnowledgeVarsity
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Multiple linear regression is a method we can use to understand the relationship between two or more explanatory variables and a response variable. For Multiple Regression the order of the variables does matter; all of the independent variables must be in consecutive columns, and having the dependent variable first is easier. The order of the independent variables is not important-just that they are in consecutive columns. The coefficient section of your output will have one row for the intercept and one row for each independent variable (in the order of the columns). If you run the analysis twice with the only change being the order of the columns for the independent variable, the only change in the output will be the order of the rows in the coefficient section. Learn how to conduct multiple linear regression using Excel data analysis tool Pak and ANOVA Concepts.

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18 сен 2024

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Комментарии : 41   
@MusafirHoonYaro
@MusafirHoonYaro 6 лет назад
I am sorry, I forgot to mention that your explanation is very clear and useful. Thank you.
@hirdeshkumar4069
@hirdeshkumar4069 3 года назад
Excellent sir. It was very good explanation about mr
@calcece
@calcece 10 лет назад
Thank you for a good example of how Multiple Regression is done in Excel. Quick refresh of my MBA class...
@christopherhall1216
@christopherhall1216 8 лет назад
Great video. Fully comprehensive. I have shared your video with many of my friends and they all have been grateful to me and you.
@apelsiiniits
@apelsiiniits 10 лет назад
Wow, This is why I love youtube! Useful and easily understandable knowledge from great people! Thank you so much :))
@Romiii2777
@Romiii2777 8 лет назад
best explanation I've found on youtube. Thank you kindly.
@AngelFelizF
@AngelFelizF 8 лет назад
Thanks a lot from Dominican Republic
@dr.neerajbhanot7288
@dr.neerajbhanot7288 10 лет назад
really useful and easy to understand presentation....
@calvantong5339
@calvantong5339 10 лет назад
Agreed! Unlike most of the lectures at UNI, they just trying to make it as complex as possible!!!
@AhsanSpica
@AhsanSpica 11 лет назад
great pace! Looking forward to more videos! Kindly also enlighten us what ms office / excel skills are sought after in the market!
@EvaGramatikova
@EvaGramatikova 9 лет назад
Nice explanation, except for (at 7:02 minute in the video) the basic concept of hypothesis testing in multiple regression the H0: coefficients beta1 = beta2 = beta3 = beta i = 0 (of the predictor variables x1, x2, x3, x4,...xi), not the variable x itself. We are testing the coefficients beta (one, two, three...) being equal to 0. This is our null hypothesis.
@pundreekdwivedi1512
@pundreekdwivedi1512 9 лет назад
Awesome explanation, its all clear in my mind. thank you
@rupa2210
@rupa2210 8 лет назад
Superb explanation.Thanks
@AFMKamalChowdhury
@AFMKamalChowdhury 10 лет назад
Thank you, Mr. Gupta.. It helps a me a lot.
@richagoyal2522
@richagoyal2522 8 лет назад
Thank You very much Sir. You are a champ. Ajay Goyal IIT Ropar
@johng5295
@johng5295 6 лет назад
Thank you for your time.
@AH-ut8oe
@AH-ut8oe 8 лет назад
How did you get the 2,59,2 for the Tdist (x, degree of freedom and tails)?
@anjanapdas9060
@anjanapdas9060 9 лет назад
Thank you sir, very informative
@petrolhead2955
@petrolhead2955 9 лет назад
Thank you, this is very helpful!
@abrarkhan9806
@abrarkhan9806 5 лет назад
Thanks Sir, Really nice.
@andreiacardoso39
@andreiacardoso39 11 лет назад
you just saved my life!!!!!
@asawarishelorkar
@asawarishelorkar 8 лет назад
Thanks for this video
@ebrodrigues79
@ebrodrigues79 9 лет назад
I couldn´t get the explanation of the t stat variable. Can you please explain?
@test1001beta
@test1001beta 8 лет назад
thanks for this video.
@jolynnlorenc6900
@jolynnlorenc6900 10 лет назад
I don't understand why we accepted X1 when the p value is not equal to or less than .05.
@mangeshrajeghodake
@mangeshrajeghodake 8 лет назад
Let me know if you get that.
@joelhumes8228
@joelhumes8228 5 лет назад
Notice it is a scientific number. It has a value E-09 at the end of it which means times 10^-9. so this is extremely small! :) It is far less than .05
@MusafirHoonYaro
@MusafirHoonYaro 6 лет назад
I have a question on the Excel output. In the bottom-most part of the Excel output. we see two other quantities "Lower 95%" and "Upper 95%" for the Intercept as well as the other "x" variables. What do these mean, i.e., how do I interpret this part of the output? Thank you for your help.
@kollurugouthami7832
@kollurugouthami7832 7 месяцев назад
If dependent range column is in between independent columns. How to we select th independent range?
@hdss89
@hdss89 9 лет назад
to calculate t INV in excel. shouldn't you have used df=n-k-1 which is 60-4-1=55 residual value instead of n-1=59
@tiagopiresabud4154
@tiagopiresabud4154 5 лет назад
Hamad Ss is right. You should have used TDIST(7.265390078;55;2), which is equal to 1.38583E-09 . Apart from this, this video was extremely helpful to me. Thank you!
@jpaokx
@jpaokx 7 лет назад
Hi..What would you do if you had seasonality? Would it still be possible to make multiple regression?
@MusafirHoonYaro
@MusafirHoonYaro 6 лет назад
One more question - I had a situation where P-value was 0.0672 (higher than 0.05, my analysis was for 95% confidence level) but when I did the t-test like you described for the dependent variable, I saw that the "actual" t-Stat value (-2.81) I had was to the left of the t-Critical (2.77) which I calculated using TINV with prob = 0.05 and df = 4 which was the case in my analysis. So, in this case, I would "reject" the Null Hypothesis that the coefficient of the X-variable = 0. So it looks like just because we have a P-value higher than 0.05, like "X Variable 4" in your example in the video, we do not automatically reject the alternate hypothesis. Can you please tell me if I am think correctly?
@keeramutti
@keeramutti 9 лет назад
You're awesome.
@asamaalglawe9791
@asamaalglawe9791 10 лет назад
Thanks!
@Sye999
@Sye999 10 лет назад
Awesome!
@rossbalharry8365
@rossbalharry8365 7 лет назад
Can you explai the t stat again looks like it didn't work out in your vid?
@kanyutu1978
@kanyutu1978 10 лет назад
Thanks a lot for the great presentation. Please ignore Dennis the cockroach.
@mounikamounika3197
@mounikamounika3197 3 года назад
Can u help me with my research paper
@dennisjanssen6803
@dennisjanssen6803 11 лет назад
i wish this were in english...
@AhsanSpica
@AhsanSpica 11 лет назад
i hope you knew what english is
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